13 citations · 14 across the 3 of their papers we have counts for
4 papers
How Mathematical Forms of Chemotherapy and Radiotherapy Bias Model-Optimized Predictions: Implications for Model Selection
Changin Oh, Kathleen P. Wilkie
The move towards personalized treatment and digital twins for cancer therapy requires a complete understanding of the mathematical models upon which these optimized simulation-base…
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth
Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin +3
Mathematical models (MMs) are a powerful tool to help us understand and predict the dynamics of tumour growth under various conditions. In this work, we use 5 MMs with an increasin…
Stochastic failure of cell infection post viral entry: Implications for infection outcomes and antiviral therapy
Christian Quirouette, Daniel Cresta, Jizhou Li +3
A virus infection can be initiated with very few or even a single infectious virion, and as such can become extinct, i.e. stochastically fail to take hold or spread significantly.…
Modeling the Dichotomy of the Immune Response to Cancer: Cytotoxic Effects and Tumor-Promoting Inflammation
Kathleen P. Wilkie, Philip Hahnfeldt
Although the immune response is often regarded as acting to suppress tumor growth, it is now clear that it can be both stimulatory and inhibitory. The interplay between these compe…